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iRAT: Replanning and Controlled Retrieval for Robust LLM Reasoning

2025-07-22

Abstract excerpt

Large Language Models (LLMs) have demonstrated significant capabilities in answering questions using techniques such as Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG). CoT enables step-by-step reasoning to improve accuracy, while RAG supplements LLMs with relevant external information. Retrieval-Augmented Thoughts (RAT) combines CoT and RAG to provide a more robust factual foundation and coherence...

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Literature Corpus work: 4ee7da41-3c43-5b65-a382-88594bc32129
DOI: 10.20944/preprints202507.1289.v2

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